AI Engineer

Experience: 2 – 6Years

Location: Whitefield, Bangalore

Role Overview

We are looking for AI Engineers with hands-on experience in Generative AI and Agentic AI solution development to build intelligent, scalable, and production-ready AI systems. The role involves designing and implementing AI-driven use cases across enterprise workflows, with optional exposure to BFSI (Banking, Financial Services, Insurance) domain.

Key Responsibilities

• Design and develop Generative AI and Agentic AI solutions for enterprise use cases
• Build intelligent applications such as: o Document & Knowledge Management (KM) Intelligence bots o Text summarization and automated form-filling systems o Multi-modal search and data extraction solutions o Conversational AI systems and chatbots o Workflow automation using AI agents o Agent orchestration (e.g., master-slave / multi-agent systems)
• Implement end-to-end pipelines including: o Data ingestion, pre processing, and embedding generation o Prompt engineering and optimization o Model integration and evaluation
• Collaborate with cross-functional teams (product, data, engineering) to deliver AI-driven solutions
• Ensure scalability, performance, and governance of AI systems
• Stay updated with the latest advancements in Gen AI and Agentic AI ecosystems

Required Skills & Qualifications

• Strong hands-on experience in: o Generative AI (LLMs, prompt engineering, RAG architectures) Agentic AI frameworks and orchestration patterns
• Experience building real-world AI use cases (at least 1–2 production implementations preferred)
• Proficiency in programming languages such as Python
• Familiarity with: o NLP, embeddings, vector databases o API integrations and microservices architecture
• Understanding of: o AI model lifecycle (training, fine-tuning, evaluation, deployment) o Data pipelines and unstructured data processing